Kiachehr Behfarnia
About
In The Last Decade
Kiachehr Behfarnia
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 73
- Civil and Structural Engineering 2.2k
- Building and Construction 867
- Materials Chemistry 729
- Pollution 183
- Environmental Engineering 115
Countries citing papers authored by Kiachehr Behfarnia
This map shows the geographic impact of Kiachehr Behfarnia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kiachehr Behfarnia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiachehr Behfarnia more than expected).
Fields of papers citing papers by Kiachehr Behfarnia
This network shows the impact of papers produced by Kiachehr Behfarnia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kiachehr Behfarnia. The network helps show where Kiachehr Behfarnia may publish in the future.
Co-authorship network of co-authors of Kiachehr Behfarnia
This figure shows the co-authorship network connecting the top 25 collaborators of Kiachehr Behfarnia. A scholar is included among the top collaborators of Kiachehr Behfarnia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kiachehr Behfarnia. Kiachehr Behfarnia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 37 | |
| 12 | 2 | |
| 13 | 159 | |
| 14 | A COMPREHENSIVE STUDY ON THE CONCRETE COMPRESSIVE STRENGTH ESTIMATION USING ARTIFICIAL NEURAL NETWORK AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM | 23 |
| 15 | 6 | |
| 16 | 102 | |
| 17 | EVALUATION OF CONCRETE COMPRESSIVE STRENGTH USING ARTIFICIAL NEURAL NETWORK AND MULTIPLE LINEAR REGRESSION MODELS | 58 |
| 18 | COMPRESSIVE STRENGTH AND FLEXURAL STRENGTH OF ALKALI-ACTIVATED SLAG CONCRETE DESIGNED BY TAGUCHI METHOD | 6 |
| 19 | 8 | |
| 20 | 207 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.